ネットワークオーケストレーションにおける人工知能(AI) 2024-2028年

出版:Juniper Research(ジュニパーリサーチ) 出版年月:2024年2月

AI in Network Orchestration: 2024-2028

ネットワークオーケストレーションにおける人工知能(AI) 2024-2028年

価格 ()GBP2,990
種別英文調査報告書

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ネットワークオーケストレーションにおける人工知能(AI) 2024-2028年

Overview

Our AI in Network Orchestration research suite provides in-depth evaluation of how the dynamic and competitive network operator market is leveraging artificial intelligence and machine learning solutions in order to achieve scalability and stability, as well as improved customer experience. It delivers a comprehensive assessment of how operators must leverage AI to fully manage growing cellular networks and services as telecommunications networks become more advanced.

The suite includes both a data deliverable, sizing the market and providing key forecast data across 60 countries and several different segments, as well as a Strategy & Trends document which gives a complete assessment of the key trends, challenges and recommendations for stakeholders. Collectively, they provide a critical tool for understanding this rapidly emerging market, to help network operators, as well as AI-enabled network orchestration solutions providers to shape their future strategy.

Key Features

  • Key Takeaways & Strategic Recommendations: Key summarised findings from in-depth analysis into the market for AI solutions, accompanied by key strategic recommendations for stakeholders.
  • Benchmark Industry Forecasts and Future Market OutlooksForecast figures for the state of the global market for AI solutions, including market splits for different world regions, as well as components of AI utility and their individual verticals. In addition, an in-depth view of the AI market prospects, the receptiveness of AI solutions to network management, exploration of key market demand, constraints and challenges. This will include a focus of five key areas of AI utility in network orchestration:
    • Network Performance
    • Network Automation
    • Network Security
    • Predictive Maintenance
    • Customer Support
  • Country Readiness AnalysisAn analysis into varying degrees of both market readiness of and overall growth prospects for AI solutions across 60 countries. This takes into account individual aspects such as readiness of consumers, infrastructure, enterprises as well as affordability of AI solutions, prospects for future growth and return on investment, the level of acceptance of the services and technology, as well the state of government regulation and standardisation of it.
  • Juniper Research Competitor LeaderboardKey player capability and capacity assessment for 12 network automation solutions vendors, via the Juniper Research Competitor Leaderboard:
    • AppViewX
    • AWS
    • Bluecat
    • Ciena
    • Cisco
    • Huawei
    • IBM
    • Itential
    • Juniper Networks
    • Nokia
    • Verizon
    • VMware

Research Deliverables

ネットワークオーケストレーションにおける人工知能(AI) 2024-2028年 2

Market Data & Forecasts

The market-leading research suite for the AI in Network Orchestration market includes access to the full set of forecast data of 19 tables and over 14,000 datapoints. Metrics in the research suite include:

  • Total Mobile Subscribers
  • Average AI Spend per Network Operator
  • Total Network Operator Spend on AI

These metrics are provided for the following key market verticals:

  • Network Performance
  • Network Automation
  • Network Security
  • Predictive Maintenance
  • Customer Support

Juniper Research Interactive Forecast Excel contains the following functionality:

  • Statistics Analysis: Users benefit from the ability to search for specific metrics, displayed for all regions and countries across the data period. Graphs are easily modified and can be exported to the clipboard.
  • Country Data Tool: This tool lets users look at metrics for all regions and countries in the forecast period. Users can refine the metrics displayed via a search bar.
  • Country Comparison Tool: Users can select countries and compare each of them for specific countries. The ability to export graphs is included in this tool.
  • What-if Analysis: Here, users can compare forecast metrics against their own assumptions, via 5 interactive scenarios.

 

レポート構成

ネットワークオーケストレーションにおける人工知能(AI) 2024-2028年 3

Table of Contents